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Mutational analysis of driver genes with tumor suppressive and oncogenic roles in gastric cancer

Overview of attention for article published in PeerJ, July 2017
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Article details
Title
Mutational analysis of driver genes with tumor suppressive and oncogenic roles in gastric cancer
Published in
PeerJ, July 2017
DOI 10.7717/peerj.3585
Pubmed ID
Authors
Abstract

Gastric cancer (GC) is a complex disease with heterogeneous genetic mechanisms. Genomic mutational profiling of gastric cancer not only expands our knowledge about cancer progression at a fundamental genetic level, but also could provide guidance on new treatment decisions, currently based on tumor histology. The fact that precise medicine-based treatment is successful in a subset of tumors indicates the need for better identification of clinically related molecular tumor phenotypes, especially with regard to those driver mutations on tumor suppressor genes (TSGs) and oncogenes (ONGs). We surveyed 313 TSGs and 160 ONGs associated with 48 protein coding and 19 miRNA genes with both TSG and ONG roles. Using public cancer mutational profiles, we confirmed the dual roles of CDKN1A and CDKN1B. In addition to the widely recognized alterations, we identified another 82 frequently mutated genes in public gastric cancer cohort. In summary, these driver mutation profiles of individual GC will form the basis of personalized treatment of gastric cancer, leading to substantial therapeutic improvements.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 3 30%
Student > Bachelor 2 20%
Student > Ph. D. Student 2 20%
Other 1 10%
Researcher 1 10%
Other 0 0%
Unknown 1 10%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 30%
Agricultural and Biological Sciences 2 20%
Chemical Engineering 1 10%
Computer Science 1 10%
Medicine and Dentistry 1 10%
Other 1 10%
Unknown 1 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 December 2017.
All research outputs
#14,945,861
of 22,988,380 outputs
Outputs from PeerJ
#8,754
of 13,399 outputs
Outputs of similar age
#169,051
of 283,559 outputs
Outputs of similar age from PeerJ
#229
of 332 outputs
Altmetric has tracked 22,988,380 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,399 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.3. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 283,559 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 332 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.